Technology Acceptance Model in Higher Education

被引:12
作者
Cabero Almenara, Julio [1 ]
Marin-Diaz, Veronica [2 ]
Sampedro-Requena, Begona E. [2 ]
机构
[1] Univ Seville, Fac Ciencias Educ, Dept Didact & Org Educ, Seville, Spain
[2] Univ Cordoba, Fac Ciencias Educ, Dept Educ, Cordoba, Spain
来源
RIE-REVISTA DE INVESTIGACION EDUCATIVA | 2018年 / 36卷 / 02期
关键词
higher education; motivation; student; moodle;
D O I
10.6018/rie.36.2.292951
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
In the last decades, the incorporation of online learning platforms to higher education means that students live with an unknown element in their social lives. So, their involvement with technologies depends on a number of factors. Through the Technology Acceptance Model (TAM) of Arteaga and Duarte (2010), created by Devis (1984), which is based on the psychological theory of Azjen and Fishbein (1980), the opinions of primary education degree seeking students at the University of Cordoba (N=546) were collected. Specifically, their opinions on Moodle, a platform to develop online training at said university, through the establishment of 23 working hypotheses. The main results have been confirmed that the English model can be applied in a Spanish context without risk of loss or information bias. On the other hand, it has been found that sex is not a predictor of success or failure in the acceptance of this technology nor the previous training that a student has. The use of TAM in Spanish higher education will revert to a more efficient way of emerging technologies that are incorporated more and more everyday into university teaching.
引用
收藏
页码:435 / 453
页数:19
相关论文
共 57 条
[1]   Interactive digital technologies' use in Southwest Nigerian universities [J].
Agbatogun, Alaba Olaoluwakotansibe .
ETR&D-EDUCATIONAL TECHNOLOGY RESEARCH AND DEVELOPMENT, 2013, 61 (02) :333-357
[2]  
Alharbi S, 2014, INT J ADV COMPUT SC, V5, P143
[3]  
APS Group Scotland, 2015, SOCIAL RES, V2
[4]   Motivational factors that influence the acceptance of Moodle using TAM [J].
Arteaga Sanchez, R. ;
Duarte Hueros, A. .
COMPUTERS IN HUMAN BEHAVIOR, 2010, 26 (06) :1632-1640
[5]  
Azjen I., 1980, UNDERSTANDING ATTITU
[6]  
Bandura Alberto, 1990, REV ESPANOLA PEDAGOG REV ESPANOLA PEDAGOG, V48, P398
[7]   EXPLORING GENDER DIFFERENCES ON GENERAL AND SPECIFIC COMPUTER SELF-EFFICACY IN MOBILE LEARNING ADOPTION [J].
Bao, Yukun ;
Xiong, Tao ;
Hu, Zhongyi ;
Kibelloh, Mboni .
JOURNAL OF EDUCATIONAL COMPUTING RESEARCH, 2013, 49 (01) :111-132
[8]   Internet self-efficacy does not predict student use of Internet-mediated educational technology [J].
Buchanan, Tom ;
Joban, Sanjay ;
Porter, Alan .
RESEARCH IN LEARNING TECHNOLOGY, 2014, 22 (01)
[9]  
Bullon P., 2009, COMPETENCIAS TECNOLO
[10]  
Cabero J., 2009, ENSENANZA TEACHING, V27, P41